Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …

Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

Personal Identification Numbers (PIN) and unlock patterns are two of the most often used
smartphone authentication mechanisms. Because PINs have just four or six characters, they …

Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …

This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …

Abstract Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the
performance of metaheuristics. However, these SBPs may include various unrealistic …